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Honggang Wang

4 accepted papers

2026

MambaVoiceCloning: Efficient and Expressive Text-to-Speech via State-Space Modeling and Diffusion Control

ICLR 2026poster

MambaVoiceCloning (MVC) asks whether the conditioning path of diffusion-based TTS can be made fully SSM-only at inference—removing all attention and recurrence across text, rhythm, and prosody—while preserving or improving quality under controlled conditions. MVC combines a gated bidirectional Mamba…

Cited by 0SourcecodeScholar
2026

iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract)

AAAI 2026technical

We present iDT-diet, an intelligent digital twin prototype designed to model the long-term influence of diet quality on health biomarkers and chronic conditions. The system integrates three novel components: (i) a random forest learning model enhanced with Choquet LASSO feature selection for capturi

Cited by 0SourcePDFScholar
2025

High-Accuracy Early Recognition of Upper-Limb Motions for Exoskeleton-Assisted Mirror Rehabilitation

RA-L 2025

Upper-limb early motion recognition (EMR) significantly enhances human-computer interaction and skill transfer in exoskeleton-assisted mirror rehabilitation. However, achieving early and accurate recognition of upper-limb motion remains a challenge, limiting the transfer of natural movements from th

Cited by 2SourceScholar
2022

Structured variational inference in Bayesian state-space models

AISTATS 2022poster

Variational inference is routinely deployed in Bayesian state-space models as an efficient computational technique. Motivated by the inconsistency issue observed by Wang and Titterington (2004) for the mean-field approximation in linear state-space models, we consider a more expressive variational f…

Cited by 4SourcePDFScholar